[HTML][HTML] Smart applications and digital technologies in viticulture: A review

J Tardaguila, M Stoll, S Gutiérrez, T Proffitt… - Smart Agricultural …, 2021 - Elsevier
It is important to continuously monitor the long-term impact of viticultural management
practices and assess opportunities for improving the environmental footprint of vineyard …

Impact of climate change on grape berry ripening: An assessment of adaptation strategies for the Australian vineyard

SY Rogiers, DH Greer, Y Liu, T Baby… - Frontiers in Plant …, 2022 - frontiersin.org
Compressed vintages, high alcohol and low wine acidity are but a few repercussions of
climate change effects on Australian viticulture. While warm and cool growing regions may …

Accurate non-destructive prediction of peach fruit internal quality and physiological maturity with a single scan using near infrared spectroscopy

IS Minas, F Blanco-Cipollone, D Sterle - Food Chemistry, 2021 - Elsevier
The development of precise and reliable near infrared spectroscopy (NIRS)-based non-
destructive tools to assess physicochemical properties of fleshy fruit has been challenging. A …

Maturity estimation of mangoes using hyperspectral imaging from a ground based mobile platform

A Wendel, J Underwood, K Walsh - Computers and Electronics in …, 2018 - Elsevier
Monitoring the maturity of fruit in commercial orchards can help growers optimise the time of
harvest. Dry matter content (DM) of fruit is used as an indicator of mango maturity, measured …

Phenotypic techniques and applications in fruit trees: a review

Y Huang, Z Ren, D Li, X Liu - Plant Methods, 2020 - Springer
Phenotypic information is of great significance for irrigation management, disease
prevention and yield improvement. Interest in the evaluation of phenotypes has grown with …

Canopy VIS-NIR spectroscopy and self-learning artificial intelligence for a generalised model of predawn leaf water potential in Vitis vinifera

R Tosin, R Martins, I Pôças, M Cunha - Biosystems Engineering, 2022 - Elsevier
This paper focuses on predicting predawn leaf water potential through a self-learning
artificial intelligence (SL-AI) algorithm, a novel spectral processing algorithm that is based …

A review of current and potential applications of remote sensing to study the water status of horticultural crops

D Gautam, V Pagay - Agronomy, 2020 - mdpi.com
With increasingly advanced remote sensing systems, more accurate retrievals of crop water
status are being made at the individual crop level to aid in precision irrigation. This paper …

Drought phenotyping in Vitis vinifera using RGB and NIR imaging

N Briglia, G Montanaro, A Petrozza, S Summerer… - Scientia …, 2019 - Elsevier
This study examined whether morphophysiological traits (ie, leaf area, plant water
consumption, leaf water potential) of drought stressed grapevines (Vitis vinifera L.) might be …

[HTML][HTML] Metabolomic profiling of Fiore Sardo cheese: Investigation of the influence of thermal treatment and ripening time using univariate and multivariate …

L Sibono, C Manis, F Zucca, L Atzori, M Errico, S Tronci… - Food Chemistry, 2024 - Elsevier
The effect of different sub-pasteurization heat treatments and different ripening times was
investigated in this work. The metabolite profiles of 95 cheese samples were analyzed using …

Predicting key water stress indicators of Eucalyptus viminalis and Callitris rhomboidea using high‐resolution visible to short‐wave infrared spectroscopy

RS Haynes, A Lucieer, TJ Brodribb… - Plant, Cell & …, 2024 - Wiley Online Library
Drought is one of the main factors contributing to tree mortality worldwide and drought
events are set to become more frequent and intense in the face of a changing climate …